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[2602.16307] Generative AI Usage of University Students: Navigating Between Education and Business
Summary
This study explores the use of generative AI by university students balancing education and work, highlighting its benefits and challenges.
Why It Matters
As generative AI becomes increasingly integrated into educational settings, understanding its impact on part-time students is crucial. This research sheds light on how these students navigate the use of AI tools, revealing both opportunities for enhanced learning and potential ethical concerns. Insights from this study can inform educators and policymakers in developing effective AI strategies that support student success while addressing associated risks.
Key Takeaways
- Generative AI can enhance productivity and learning outcomes for part-time university students.
- Ethical implications and risks of academic misconduct are significant concerns.
- The study identifies strategies and conditions influencing GenAI usage in educational and business contexts.
- Insights from this research can guide educators and developers in creating supportive AI tools.
- Understanding the intersection of education and business in AI usage is essential for future developments.
Computer Science > Computers and Society arXiv:2602.16307 (cs) [Submitted on 18 Feb 2026] Title:Generative AI Usage of University Students: Navigating Between Education and Business Authors:Fabian Walke, Veronika Föller View a PDF of the paper titled Generative AI Usage of University Students: Navigating Between Education and Business, by Fabian Walke and 1 other authors View PDF Abstract:This study investigates generative artificial intelligence (GenAI) usage of university students who study alongside their professional career. Previous literature has paid little attention to part-time students and the intersectional use of GenAI between education and business. This study examines with a grounded theory approach the characteristics of GenAI usage of part-time students. Eleven students from a distance learning university were interviewed. Three causal and four intervening conditions, as well as strategies were identified, to influence the use of GenAI. The study highlights both the potential and challenges of GenAI usage in education and business. While GenAI can significantly enhance productivity and learning outcomes, concerns about ethical implications, reliability, and the risk of academic misconduct persist. The developed grounded model offers a comprehensive understanding of GenAI usage among students, providing valuable insights for educators, policymakers, and developers of GenAI tools seeking to bridge the gap between education and business. Subjects: Computers an...
